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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops"
12859 条 记 录,以下是321-330 订阅
排序:
v2e: From Video Frames to Realistic DVS Events
v2e: From Video Frames to Realistic DVS Events
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Hu, Yuhuang Liu, Shih-Chii Delbruck, Tobi Univ Zurich Inst Neuroinformat Zurich Switzerland Swiss Fed Inst Technol Zurich Switzerland
To help meet the increasing need for dynamic vision sensor (DVS) event camera data, this paper proposes the v2e toolbox that generates realistic synthetic DVS events from intensity frames. It also clarifies incorrect ... 详细信息
来源: 评论
Any-Width Networks
Any-Width Networks
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Vu, Thanh Eder, Marc Price, True Frahm, Jan-Michael Univ North Carolina Chapel Hill NC 27515 USA
Despite remarkable improvements in speed and accuracy, convolutional neural networks (CNNs) still typically operate as monolithic entities at inference time. This poses a challenge for resource-constrained practical a... 详细信息
来源: 评论
Learned Compression of High Dimensional Image Datasets
Learned Compression of High Dimensional Image Datasets
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Cole, Elizabeth Meng, Qingxi Pauly, John Vasanawala, Shreyas Stanford Univ Dept Elect Engn Stanford CA 94305 USA Stanford Univ Dept Radiol Stanford CA 94305 USA
In many applications, such as burst photography and magnetic resonance imaging (MRI), multiple images are acquired to reduce the noise of the eventual reconstructed image. However, this leads to very high dimensional ... 详细信息
来源: 评论
Interaction Classification with Key Actor Detection in Multi-Person Sports Videos
Interaction Classification with Key Actor Detection in Multi...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Askari, Farzaneh Ramaprasad, Rohit Clark, James J. Levine, Martin D. McGill Univ Montreal PQ Canada Birla Inst Technol & Sci Pilani Rajasthan India
Interaction recognition from multi-person videos is a challenging yet essential task in computer vision. Often the videos depict actions with multiple actors involved, some of whom participate in the main event, and t... 详细信息
来源: 评论
Enriched Robust Multi-View Kernel Subspace Clustering
Enriched Robust Multi-View Kernel Subspace Clustering
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Mengyuan Liu, Kai Clemson Univ Clemson SC 29631 USA
Subspace clustering is to find underlying low-dimensional subspaces and cluster the data points correctly. In this paper, we propose a novel multi-view subspace clustering method. Most existing methods suffer from two... 详细信息
来源: 评论
Multi-Modal Temporal Convolutional Network for Anticipating Actions in Egocentric Videos
Multi-Modal Temporal Convolutional Network for Anticipating ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zatsarynna, Olga Abu Farha, Yazan Gall, Juergen Univ Bonn Bonn Germany
Anticipating human actions is an important task that needs to be addressed for the development of reliable intelligent agents, such as self-driving cars or robot assistants. While the ability to make future prediction... 详细信息
来源: 评论
Moire pattern Removal via Attentive Fractal Network
Moire Pattern Removal via Attentive Fractal Network
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Xu, Dejia Chu, Yihao Sun, Qingyan Peking Univ Beijing Peoples R China Beijing Univ Posts & Telecommun Beijing Peoples R China Beijing Jiaotong Univ Beijing Peoples R China
Moire patterns are commonly seen artifacts when taking photos of screens and other objects with high-frequency textures. It's challenging to remove the moire patterns considering its complex color and shape. In th... 详细信息
来源: 评论
Is synthetic voice detection research going into the right direction?
Is synthetic voice detection research going into the right d...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Borzi, Stefano Giudice, Oliver Stanco, Filippo Allegra, Dario Univ Catania Dept Math & Comp Sci Catania Italy Banca Italia IT Dept Appl Res Team Rome Italy
Machine Learning, and in general Artificial Intelligence approaches, brought a great advance in each and every field of computer Science increasing accuracy levels of predictors in any known problem. Indeed, this evol... 详细信息
来源: 评论
Reconstructing Spectral Images from RGB-Images using a Convolutional Neural Network  31
Reconstructing Spectral Images from RGB-Images using a Convo...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Stiebel, Tarek Koppers, Simon Seltsam, Philipp Merhof, Dorit Rhein Westfal TH Aachen Inst Imaging & Comp Vis Aachen Germany
Recovering high-dimensional spectral images taken with spectrally low-dimensional camera systems, in the extreme case RGB-images, has been of great interest for a variety of applications. An accurate spectral reconstr... 详细信息
来源: 评论
The Effect of Improving Annotation Quality on Object Detection Datasets: A Preliminary Study
The Effect of Improving Annotation Quality on Object Detecti...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ma, Jiaxin Ushiku, Yoshitaka Sagara, Miori OMRON SINIC X Corp Tokyo Japan Baobab Inc Tokyo Japan
In this study, we partially reannotate conventional benchmark datasets for object detection and check whether there is performance improvement/drop compared with the original annotations. Recent studies on the annotat... 详细信息
来源: 评论